QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.

Filter by faculty:

Found 210 matching student topics

Displaying 169–180 of 210 results

Construction materials in extreme chemical and thermal processing environments

Investigate and identify materials that can be used to construct chemical plants using extreme chemicals and processing conditions.Australia has the potential to lead globally in supplying critical minerals for current and emerging energy technologies, however the extraction and recovery of these minerals are requiring more aggressive chemicals and processing requirements that are not suitable for traditionally used construction materials, such as stainless steel.Thus, this project will perform experimental material testing on a range of construction materials under extreme chemically corrosive …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Developing composite products for use in light steel wall and floor systems

The project will investigate the potential use of a range of composite products made of gypsum plasterboard, steel sheeting and insulation foams to improve the fire resistance of light steel wall and floor systems. It will involve investigating the potential composite products’ suitability, conducting fire tests of small scale wall/floor assemblies (1.2mx.1.2m) made of such composite products to understand how they behave in fire and determine their fire resistance levels. Civil and Mechanical Engineering students with interest in structural and …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

Human robotic interaction prototyping toolkit

Design relies on prototyping methods to help envisage future design concepts and elicit feedback from potential users. A key challenge the design of human-robot interaction (HRI) with collaborative robots is the current lack of prototyping tools, techniques, and materials. Without good prototyping tools, it is difficult to move beyond existing solutions and develop new ways of interacting with robots that make them more accessible and easier for people to use.This project will develop a robot collaboration prototyping toolkit that combines …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Robotic intention visualisation

Complex manufacturing environments characterised by high value and high product mix manufacturing processes pose challenges to Human-Robot Collaboration (HRC). Allowing people to see what robots are ‘thinking’ will allow workers to efficiently collaborate with co-located robotic partners. A tighter integration of work routines requires improved approaches to support awareness in human-robotic co-working spaces. There is a need for solutions that also let people see what the robot is intending to do so that they can also efficiently adjust their actions …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Recovery of metal halide perovskite precursors from Australia sources

Investigate, model and experiment on the extraction and recovery of cations and anions, used in the synthesis of perovskite solar cells, from Australian resources.Australia has the potential to lead globally in supplying precursor materials for next-generation metal halide perovskite solar cells, leveraging its abundant critical minerals and strong mineral processing capabilities with an innovative 'mineral to precursor to final product' strategy.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Monitoring Corneal Immune Cell Changes After Anti-Inflammatory and Immunosuppressant Eye Drops Using In Vivo Confocal Microscopy

This project investigates how corneal immune cells in the human eye respond to topical anti-inflammatory and immunosuppressant eye drops. By using in vivo confocal microscopy, we aim to monitor real-time cellular changes to better understand treatment effects in common ocular surface conditions.

Study level
Honours
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Vision and Eye Research
Centre for Vision and Eye Research

Consumer reactions to voice-based AI

Artificial intelligence increasingly allows marketers to manipulate video and audio materials in a manner that has been restricted to still pictures in the past. Yet little is known about how consumers engage with and react to marketing content that consumers know has been manipulated in this fashion. For instance, for whom, when and why do interactions with voice-based AI (e.g. Google Duplex, Healed through A.I.) reduce purchase intentions. Building on research from interpersonal interactions (Lechner & Mathmann, 2020) and motivational …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Energy transitions in the food sector: how AI shapes consumer behaviour over time

Energy transitions are often studied in sectors such as transport (e.g. electric vehicles) and housing (e.g. solar panels, batteries), where decisions are relatively infrequent, highly deliberative, and associated with clear long-term payoffs. In contrast, food consumption represents a fundamentally different energy-relevant sector: decisions are made daily or even multiple times per day, involve low deliberation, and prioritise immediate outcomes such as convenience, cost, and taste (Reisch, 2021). These characteristics make food systems particularly susceptible to short-term decision-making, where long-term energy …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Future Enterprise
Energy Transition Centre

Bridging the gap: leveraging AI to improve healthcare access

Access to quality healthcare remains a significant challenge in many parts of the world, often due to geographic and financial barriers. This research explores how artificial intelligence (AI) can address the challenges of geographic and financial barriers in accessing healthcare. The project will focus on developing AI-powered solutions that enhance healthcare delivery, increase patient engagement, and reduce costs

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Public Health and Social Work

Big data analysis to aid ecological research

We're looking for multiple students to help us answer the question: 'How can we utilise information technology to aid ecological research?'Sensor networks bring ecologists and pattern recognition researchers together to make some applications possible. These applications include assessing risks from potential bird collisions, unobtrusive observations (where the presence of humans changes some animal behaviours) and studying spatial and temporal variation in biological processes.With a significant amount of data being collected from these applications, processing and mining this data is challenging. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Australia's urban and regional atmosphere: investigating influences on air quality

Global concern about urban air quality has been steadily increasing in recent years. However, most studies on the factors influencing air quality have focused on heavily polluted regions or locations in the Northern Hemisphere, where weather patterns, industrial activity, and vegetation differ significantly from those in Australia.Historically, urban areas in Australia have enjoyed relatively good air quality. Yet, rising population density, deforestation, and land use changes are placing increasing pressure on this status. Furthermore, the natural emissions from Australian vegetation …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Enhancing clinical decision-making through AI-assisted agents

Artificial Intelligence (AI) has shown tremendous potential in revolutionizing healthcare delivery. This research focuses on developing AI agents that can augment clinical decision-making processes, ultimately improving patient outcomes. The project aims to explore and design novel AI architectures that integrate disparate medical data sources, providing context-aware recommendations for diagnosis, treatment planning, and care coordination. Despite the promising applications of AI in healthcare, significant challenges remain in integrating these technologies into clinical practice effectively and safely.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Public Health and Social Work

Page 15 of 18

Contact us

If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.